The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Atmospheric Water Harvesting: A Review of Material and Structural Designs
Open accessAbstract
Abstract Atmospheric water harvesting (AWH) emerges as a promising means to overcome the water scarcity of arid regions, especially for inland areas lacking liquid water sources. Beyond conventional system engineering that improves the water yield, novel moisture-harvesting materials provide new aspects to fundamentally promote the AWH technology benefiting from their high tunability and processability. Innovative material and structural designs enable the moisture harvesters with desirable features, such as high water uptake, facile water collection and long-term recyclability, boosting the rapid development of next-generation AWH. In this Perspective, we first illustrate the sorption mechanism, including absorption and adsorption for moisture-harvesting materials and summarize fundamental requirements, as well as design principles of moisture harvesters. Recent progress on material and structural designs of moisture harvesters for AWH is critically discussed. We conclude with prospective directions for next-generation moisture harvesters to promote AWH from scientific research to practical application.
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Cites
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A Hybrid Photocatalytic System Splits Atmospheric Water to Produce Hydrogen
He, L., Zeng, X., Chen, H., Zhao, L., Huang, Z., Wang, D., He, X., Fang, W., Du, X., & Li, W. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202313058 · Cited by 56
Metadata
- Authors
- Zhou, X., Lu, H., Zhao, F., & Yu, G.
- Venue
- ACS Materials Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-05-07
- Volume
- 2
- Issue
- 7
- Pages
- 671-684
- ISSN
- 2639-4979 (ISSN-L)
- OpenAlex
- W3021443518
- Cited by
- 561
- References
- 53
- FWCI
- 13.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
